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Stochastic Modeling of Groundwater Systems
(Cambridge, Mass. : Ralph M. Parsons Laboratory for Water Resources and Hydrodynamics, Dept. of Civil Engineering, Massachusetts Institute of Technology, 1974-09)
This research developed important new results on the use of spectral analysis techniques to evaluate groundwater resources. The linear theory of aquifer spectral response in the frequency domain is developed, including ...
Planning and Design of Agricultural Drainage under Uncertainty: A Dynamic Multi-level Approach
(Cambridge, Mass. : Ralph M. Parsons Laboratory, Hydrology and Water Resource Systems, Massachusetts Institute of Technology, Dept. of Civil Engineering, 1982-07)
Drainage systems are major capital investments for irrigated agriculture. Therefore,the-goal is to install drainage systems that will be most beneficial to the agricultural economy as a whole. Planning for agricultural ...
Conservation in Long-term Conjunctive Use: Irrigation Demands Using Disaggregate Choice Models
(Cambridge, Mass. : Ralph M. Parsons Laboratory, Massachusetts Institute of Technology, 1981-03)
Section 1:This report presents the hierarchy of sub-problems involved in modelling the demand for conjunctive use. An historical description of the development of conjunctive user irrigation and a review of current policy ...
Description of and User's Manual for a Finite Element Aquifer Flow Model AQUIFEM-1
(Cambridge, Mass. : Massachusetts Institute of Technology, Dept. of Civil Engineering, Ralph M. Parsons Laboratory for Water Resources and Hydrodynamics, 1980-02)
A detailed user's and programmer's manual for "AQUIFEM-1," a versatile two-dimensional finite element model for groundwater flow, is presented. The model is based on the hydraulic equations of essentially horizontal flow, ...
Simulation of Random Fields with the Turning Bands Method
(Cambridge, Mass. : Ralph M. Parsons Laboratory Hydrology and Water Resources Systems, Dept. of Civil Engineering, Massachusetts Institute of Technology, 1981-07)
This report presents and extends the Turning Bands Method (TBM) for the synthetic simulation of random fields. Originally introduced by G. Matheron (1973) of the Ecole des Mines de Paris, the TBM can be applied to stationary ...